Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6936455 | Transportation Research Part C: Emerging Technologies | 2016 | 17 Pages |
Abstract
To address this problem, a perceived utility model derived from non-traditional data such as smartphones/social media for representing users' willingness to travel a certain distance for participating in leisure activities at different times of day is presented. Then, a stochastic annealing search method for addressing the exponential complexity optimization problem is introduced. The stochastic annealing method suggests the preferred location of a joint leisure activity and the arrival times of individuals based on the users' preferences derived from the perceived utility model. Test-case implementations of the approach used 14-month social media data from London and showcased an increase of up to 3 times at individuals' satisfaction while the computational complexity is reduced to almost linear time serving the real-time implementation requirements.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
K. Gkiotsalitis, A. Stathopoulos,